• Книги
  • AI и ML
  • LLM
  • Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications
A

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

LLM
prompt engineering large language models LLM applications transformer architecture retrieval-augmented generation machine learning O'Reilly
Автор
John Berryman, Albert Ziegler
Издательство
O’Reilly Media, Inc.
Год
2025
Язык
Английский
53
Оцените книгу

Чтобы читать книгу, войдите / зарегистрируйтесь

Ознакомительный фрагмент

Похожие книги

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs at Scale

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs at Scale

James Phoenix, Mike Taylor

Generative AI on Kubernetes: Operationalizing Large Language Models

Generative AI on Kubernetes: Operationalizing Large Language Models

Roland Huß, Daniele Zonca

Hands-On Large Language Models: Language Understanding and Generation

Hands-On Large Language Models: Language Understanding and Generation

Jay Alammar, Maarten Grootendorst

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

Paul Iusztin, Maxime Labonne

Learning Python: Powerful Object-Oriented Programming

Learning Python: Powerful Object-Oriented Programming

Mark Lutz

Large Language Models Projects: Apply and Implement Strategies for Large Language Models

Large Language Models Projects: Apply and Implement Strategies for Large Language Models

Pere Martra

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

Ben Auffarth

Terraform Cookbook: Recipes for Codifying Infrastructure

Terraform Cookbook: Recipes for Codifying Infrastructure

Kerim Satirli, Taylor Dolezal

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Kerem Tomak

Создание встраиваемых систем: шаблоны проектирования для отличного программного обеспечения

Создание встраиваемых систем: шаблоны проектирования для отличного программного обеспечения

Elecia White